Finally, look at the pairwise comparisons that were generated in Step 5, and report ONLY the ones that would be examined if the simple effect of Factor 2 for Factor 1 = A was significant, regardless of whether this was found in Step 5.(Note: the SE Factor 2 | Factor 1 = A was significant; maybe go back and do Step 5 again if that isn't what you found). Provide the p-values below and then a summary sentence.

when Factor 1 = A:1 vs 2 p=0.159

1 vs 3 p= 0.000

2 vs 3p= 0.003

This is the table that I use . What will be the analysis in the summary sentence?

What is the analysis and summary sentence

Pairwise COM omparisons Dependent Variable: DataVar 95% Confidence Interval for Mean Difference, Difference Factor1 (1) Factor2 (J) Factor2 (I-J) Std. Error Sig b Lower Bound Upper Bound A 2 -15.800 7.865 159 -35.983 4.383 -45.556 7.865 000 -65.739 -25.373 2 15.800 7.865 159 -4.383 35.983 -29.756 7.865 003 -49.939 -9.573 3 45.556 7.865 000 25.373 65.739 29.756" 7.865 003 9.573 49.939 B -4.894 7.865 902 -25.077 15.289 -12.050 7.865 361 -32.233 8.133 2 4.894 7.865 902 -15.289 25.077 -7.156 7.865 752 -27.339 13.027 12.050 7.865 361 -8.133 32.233 7.156 7.865 752 -13.027 27.339